AI Research Scientist (Paris)

Responsibilities

• You'll work on advanced problems related to AI explainability, AI safety, and AI alignment.
• You'll have flexibility in picking up the specialization areas within ML/DL and problem types that address the above challenges.
• Create new techniques around ML Observability & Alignment.
• Collaborate with MLEs and SDE to roll out the features and manage their quality until they are fully stable.
• Create and maintain technical and product documentation.
• Publish papers in open forums like arxiv and present in industry forums like ICLR NeurIPS etc.

Qualifications

• Has a solid academic background in concepts of machine learning or deep learning or reinforcement learning.
• Master or Ph.D in key engineering topics like computer science or Mathematics is required
• Should have published peer-reviewed papers or contributed to opensource tools
• Hands-on experience in working with deep learning frameworks like Tensorflow, Pytorch etc
• Enjoys working on various DL problems that involve using different types of training data sets - textual, tabular, categorical, images etc
• Comfortable deploying code in cloud environments/on-premise environments.
• Good fundamentals in MLOps and productionising ML models.
• Prior experience on working on ML explainability methods - LRP, SHAPE, LIME, IG, CEM etc.
• 2+ years of hands-on experience in Deep Learning or Machine Learning.
• Hands-on experience in implementing techniques like Transformer models, GANs, Deep Learning, etc.